Biometric Systems for Data Analysis: Evaluation, Data Mining and Optimizationbrings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. This professional book naturally leads to topics including data mining and prediction, which have been widely applied to other fields but not rigorously to biometrics, to be examined in detail. This volume places an emphasis on the various performance measures available for biometric systems, what they mean, andwhen they should and should not be applied. The evaluation techniques are presented rigorously, however are always accompanied by intuitive explanations that can be used to convey the essence of the statistical concepts to a general audience. Designed for a professional audience composed of practitioners and researchers in industry, this book is also suitable as a reference for advanced-level students in computer science and engineering. First book that focuses on the aspects common to all biometric recognition systems, including the inputdata (biometrics images, and person meta data) and output (scores) of these systems. This leads to a focus on user and group level performance Case studiesand examples from several major biometric modalities are included INDICE: Preface.- Preliminaries.- Biometric Evaluation Fundamentals.- Biometric Data.- Performance evaluation Hierarchy.- System Evaluation: The Statistical Basis for Biometric Systems.- Verification.- Identification (open vs closed).- Enrollment Measures.- Individual Evaluation: The Biometric Menagerie.- Group Evaluation: Data Mining for Biometrics.- Special Topics in Biometric Evaluations.- System Setup and Optimization.- The Evaluation of Systems in Production.- Evaluating Surveillance Systems.- Conclusion.- References.- Index.
- ISBN: 978-0-387-77625-5
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 250
- Fecha Publicación: 01/05/2008
- Nº Volúmenes: 1
- Idioma: Inglés